AI in Traffic Management - How NoTraffic is solving Traffic Congestion? | Tal Kresier

Traffic Congestion is emerging as a major challenge for the cities. More than 1.35 million people die in road accidents every year people are losing 51 hours in traffic jams every year. Traffic management systems use traditional methods to regulate the traffic flow. However, many cities are using artificial intelligence and machine learning to solve traffic congestion issues and follow a network approach rather than a single junction. The cities can simulate different scenarios in real-time to understand the impact on a network basis. Further, Transit Signal Priority (TSP) is helping to reduce travel time for the riders and improve efficiency. The episode will cover the topics related to AI in Traffic Management and the role of traffic signals for autonomous vehicles.

Tal Kresier is the Co-founder and CEO of @NoTraffic . NoTraffic is a company that focuses on developing technology for intelligent traffic management and optimization. As CEO, he manages a large team of industry leaders from various fields such as AI, Machine Vision, Cybersecurity, and Engineering, bringing the team together and creating the most sophisticated traffic management platform. Prior to NoTraffic, Tal served as a Business Analyst at Beta Finance consulting firm, where he led complex projects in the transportation, infrastructure, and energy industries.